Abstract
The recognition of affective states can be further divided into recognition of fixed categories such as happy or sad (compare Section 3.1) and continuous estimations according to affective dimensions such as arousal or valence.
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© 2020 Springer Fachmedien Wiesbaden GmbH, part of Springer Nature
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Kächele, M. (2020). Machine learning for the estimation of affective dimensions. In: Machine Learning Systems for Multimodal Affect Recognition. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-28674-3_5
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DOI: https://doi.org/10.1007/978-3-658-28674-3_5
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